Introduction to probability and statistics principles and applications for engineering and the computing sciences

This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop...

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Bibliographic Details
Main Author: Milton, J. Susan (Janet Susan)
Other Authors: Arnold, Jesse C.
Format: Book
Language:English
Published: New York McGraw Hill 1995
Edition:3rd ed.
Series:Schaum's solved problems series
Subjects:
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040 |a UPNM 
090 |a TA 330  |b .M486 1995 
100 1 |a Milton, J. Susan  |q (Janet Susan) 
245 1 0 |a Introduction to probability and statistics  |b principles and applications for engineering and the computing sciences  |c J.S. Milton, Jesse C. Arnold 
250 |a 3rd ed. 
260 |a New York  |b McGraw Hill  |c 1995 
300 |a xx, 811 p.  |b ill.  |c 24 cm 
490 1 |a Schaum's solved problems series 
504 |a Includes bibliographical references and index 
520 |a This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. 
650 0 |a Engineering mathematics 
650 0 |a Electronic data processing 
650 0 |a Probabilities 
650 0 |a Statistics 
700 1 |a Arnold, Jesse C. 
830 0 |a Schaum's solved problems series 
999 |a vtls000022667  |c 32934  |d 32934